Reymond Research Group

University of Bern

SCS Fall Meeting 2021!

![SCS1](/content/images/2021/09/IMG_6121-2.jpg)

The SCS Fall Meeting 2021 will start from 10th September!

The chair of the morning session Medicinal Chemistry & Chemical Biology Prof. Jean-Louis Reymond will give us a talk at 11 am!

More information: https://fm21.scg.ch

>> Contributed Talks

1. Prof. Jean-Louis Reymond

Chair of SCS Division of Medicinal Chemistry & Chemical Biology (DMCCB): Activities 2021/22 and General Assembly 2021

2. Alice Capecchi

Topic: Medicinal Chemistry & Chemical Biology
Machine Learning Guides the Design of Non-Hemolytic Antimicrobial Peptides

3. Amol Thakkar

Topic: Computational Chemistry
AI guided synthesis of the GDB Chemical Space

>> Virtual Poster

① Topic: Medicinal Chemistry & Chemical Biology

Aline Carrel

Synthesis of new building blocks from the chemical universe database GDB
https://fm21.scg.ch/component/scs/movielink?movieLink=YeQ8DzBb

Dina Erzina

An immunomodulatory Peptide Dendrimer Inspired from Glatiramer Acetate
https://fm21.scg.ch/component/scs/movielink?movieLink=nI8ugkvr

Elena Zakharova

Designing of new anticancer peptides using a Genetic Algorithm and Machine Learning
https://fm21.scg.ch/component/scs/movielink?movieLink=SdbZT5jk

Céline Schuppisser

Discovery of new inhibitors of human divalent metal transporter hDMT and hZIP8 by fragment-based lead discovery from GDB17 database
https://fm21.scg.ch/component/scs/movielink?movieLink=YPBQbMzF

Xingguang Cai

The Antimicrobial Activity of Peptide Dendrimers and Polymyxin B Increases Sharply Above pH 7.4
https://fm21.scg.ch/component/scs/movielink?movieLink=Y45L1wXb

Hippolyte Personne

X-ray crystal structures of short mixed chirality α-helical antimicrobial peptides
https://fm21.scg.ch/component/scs/movielink?movieLink=9C9r8dst

② Topic: Computational Chemistry

David Kreutter

Predicting Enzymatic Reactions with a Molecular Transformer
https://fm21.scg.ch/component/scs/movielink?movieLink=NIdHHMgz

Philippe Schwaller

Low-data regime yield predictions with uncertainty estimation using deep learning approaches
https://fm21.scg.ch/component/scs/movielink?movieLink=UQ20A6wu